Many deep learning approaches for Multiple Object Tracking (MOT), also known as Multi-Target Tracking, have been published in the last four years [1]}.
Similar to object detection, MOT assigns bounding boxes to the detected objects but in addition, each bounding box is associated with a target ID.
This target ID serves to differentiate among intra-class objects.
